现代电子技术2016，Vol.39Issue(24)：39-43,5.DOI:10.16652/j.issn.1004-373x.2016.24.010
多Agent的创新网络入侵检测方法仿真研究
Simulation research of innovation network intrusion detection method based on multi Agent
摘要
Abstract
In the innovation network of multiple Agent,it is easy to occur periodic vulnerabilities and link feedback over⁃flow,which will provide a time slot for the network virus invasion. With effective detection of multiple Agent innovation network intrusion,the virus may be blocked and identified,and the network security performance can be improved. The innovation net⁃work intrusion detection method is put forward under multiple Agent based on local feature. The network structure and network intrusion node distribution characteristics are analyzed. An innovative network intrusion signal model of multiple Agent is built for the anti⁃interference filtering processing of invading signal. The local feature matching method is used to conduct the matched filtering detection of network intrusion,and implement the improvement of network intrusion detection algorithm. The simulation experiment results show that the network intrusion detection method has higher accurate detection probability than the traditional method,possesses good amplitude response performance,and can effectively restrain the sidelobe interference in innovation net⁃work of multiple Agent. It has a good application value in the network security defense.关键词
Agent/创新网络/入侵检测/网络安全Key words
Agent/innovative network/intrusion detection/network security分类
信息技术与安全科学引用本文复制引用
傅荣,佘朝晖..多Agent的创新网络入侵检测方法仿真研究[J].现代电子技术,2016,39(24):39-43,5.基金项目
湖南省自然科学基金面向互联网群体协作的知识网络演化研究（湘基金委字（2012）4号） （）
